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package de.lmu.ifi.dbs.elki.evaluation.scores.adapter;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2015
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.evaluation.scores.ScoreEvaluation.Predicate;
/**
* Class that uses a NumberVector as reference, and considers all non-zero
* values as positive entries.
*
* @apiviz.composedOf NumberVector
*
* @author Erich Schubert
*/
public class VectorOverThreshold implements Predicate<AbstractVectorIter> {
/**
* Vector to use as reference
*/
NumberVector vec;
/**
* Threshold
*/
double threshold;
/**
* Number of positive values.
*/
int numpos;
/**
* Constructor.
*
* @param vec Reference vector.
* @param threshold Threshold value.
*/
public VectorOverThreshold(NumberVector vec, double threshold) {
super();
this.vec = vec;
this.threshold = threshold;
this.numpos = 0;
for(int i = 0, l = vec.getDimensionality(); i < l; i++) {
if(vec.doubleValue(i) > threshold) {
++numpos;
}
}
}
@Override
public boolean test(AbstractVectorIter o) {
return vec.doubleValue(o.dim()) > threshold;
}
@Override
public int numPositive() {
return numpos;
}
}
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